This article proposes a novel dynamic lumped-parameter thermal model (D-LPTM) to locate and predict the transient/steady-state maximum winding temperatures for both overlapping and nonoverlapping concentrated windings in electrical machines. In addition to conduction thermal modeling, the proposed D-LPTM introduces a compensation thermal resistance to represent the conduction heat transfer capability under distributed loss generation. Both conduction and compensation thermal resistances can be dynamically adjusted to account for the varying hot spot locations, demonstrating high robustness across various load/thermal conditions. Since the proposed D-LPTM is derived completely based on the analytical heat transfer theorem, it can be generally applied to electrical machines with different sizes and geometries. Compared to the finite element (FE) method, the D-LPTM can achieve similar estimation accuracy with significantly less computation effort. Compared to the analytical thermal models (ATMs) that are limited to steady-state temperature predictions, the proposed D-LPTM can predict transient maximum winding temperatures without requiring iterative curve-fitting processes or auxiliary methods, for example, partial FE and ATMs. The proposed model is applied to a prototype electrically excited synchronous machine and validated by both the FE method and experiments.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Dynamic Lumped-Parameter Thermal Modeling for Tracking Maximum Winding Temperature in Electrical Machines


    Contributors:


    Publication date :

    2025-08-01


    Size :

    4014420 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English